fal 0.3.6

A Rust crate for the fal.ai API, including generated, typed functions for all public models
Documentation 
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#[allow(unused_imports)]
use crate::prelude::*;
#[allow(unused_imports)]
use serde::{Deserialize, Serialize};
#[allow(unused_imports)]
use std::collections::HashMap;

#[derive(Debug, Serialize, Deserialize, Default)]
pub struct CATVTONInput {
    /// Type of the Cloth to be tried on.
    ///
    /// Options:
    /// upper: Upper body cloth
    /// lower: Lower body cloth
    /// overall: Full body cloth
    /// inner: Inner cloth, like T-shirt inside a jacket
    /// outer: Outer cloth, like a jacket over a T-shirt
    /// "upper"
    /// "lower"
    /// "overall"
    /// "inner"
    /// "outer"
    pub cloth_type: String,
    /// Url to the garment image.
    /// "https://storage.googleapis.com/falserverless/catvton/tshirt.jpg"
    pub garment_image_url: String,
    /// The CFG (Classifier Free Guidance) scale is a measure of how close you want
    /// the model to stick to your prompt when looking for a related image to show you.
    #[serde(skip_serializing_if = "Option::is_none")]
    pub guidance_scale: Option<f64>,
    /// Url for the human image.
    /// "https://storage.googleapis.com/falserverless/catvton/man5.jpg"
    pub human_image_url: String,
    /// The size of the generated image.
    #[serde(skip_serializing_if = "Option::is_none")]
    pub image_size: Option<ImageSizeProperty>,
    /// The number of inference steps to perform.
    #[serde(skip_serializing_if = "Option::is_none")]
    pub num_inference_steps: Option<i64>,
    /// The same seed and the same input given to the same version of the model
    /// will output the same image every time.
    #[serde(skip_serializing_if = "Option::is_none")]
    pub seed: Option<i64>,
}

#[derive(Debug, Serialize, Deserialize)]
pub struct CATVTONOutput {
    /// The output image.
    pub image: Image,
}

#[derive(Debug, Serialize, Deserialize, Default)]
pub struct HTTPValidationError {
    #[serde(skip_serializing_if = "Option::is_none")]
    pub detail: Option<Vec<Option<ValidationError>>>,
}

#[derive(Debug, Serialize, Deserialize, Default)]
pub struct Image {
    /// The mime type of the file.
    /// "image/png"
    #[serde(skip_serializing_if = "Option::is_none")]
    pub content_type: Option<String>,
    /// File data
    #[serde(skip_serializing_if = "Option::is_none")]
    pub file_data: Option<String>,
    /// The name of the file. It will be auto-generated if not provided.
    /// "z9RV14K95DvU.png"
    #[serde(skip_serializing_if = "Option::is_none")]
    pub file_name: Option<String>,
    /// The size of the file in bytes.
    /// 4404019
    #[serde(skip_serializing_if = "Option::is_none")]
    pub file_size: Option<i64>,
    /// The height of the image in pixels.
    /// 1024
    #[serde(skip_serializing_if = "Option::is_none")]
    pub height: Option<i64>,
    /// The URL where the file can be downloaded from.
    pub url: String,
    /// The width of the image in pixels.
    /// 1024
    #[serde(skip_serializing_if = "Option::is_none")]
    pub width: Option<i64>,
}

#[derive(Debug, Serialize, Deserialize, Default)]
pub struct ImageSize {
    /// The height of the generated image.
    #[serde(skip_serializing_if = "Option::is_none")]
    pub height: Option<i64>,
    /// The width of the generated image.
    #[serde(skip_serializing_if = "Option::is_none")]
    pub width: Option<i64>,
}

#[derive(Debug, Serialize, Deserialize, Default)]
pub struct ValidationError {
    pub loc: Vec<serde_json::Value>,
    pub msg: String,
    #[serde(rename = "type")]
    pub ty: String,
}

#[derive(Debug, Serialize, Deserialize, smart_default::SmartDefault)]
#[allow(non_camel_case_types)]
pub enum ImageSizeProperty {
    #[default]
    ImageSize(ImageSize),
    #[serde(rename = "square_hd")]
    SquareHd,
    #[serde(rename = "square")]
    Square,
    #[serde(rename = "portrait_4_3")]
    Portrait43,
    #[serde(rename = "portrait_16_9")]
    Portrait169,
    #[serde(rename = "landscape_4_3")]
    Landscape43,
    #[serde(rename = "landscape_16_9")]
    Landscape169,
}

/// try-on
///
/// Category: image-to-image
/// Machine Type: A100
/// License Type: research
pub fn cat_vton(params: CATVTONInput) -> FalRequest<CATVTONInput, CATVTONOutput> {
    FalRequest::new("fal-ai/cat-vton", params)
}